Evidence map›Paper›PMID 36972080›Full record

ArticlePsychological methods2025

Troubleshooting Bayesian cognitive models.

Beth Baribault, Anne G E Collins

Abstract read
In one paragraph

Article in Psychological methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Social inequity disrupts reward-based learning.Communications psychology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Beth BaribaultDepartment of Psychology, University of California, Berkeley.ORCID 0000-0001-7370-2183
Anne G E CollinsDepartment of Psychology, University of California, Berkeley.

Funding

The neural computations supporting hierarchical reinforcement learningR01MH119383 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI COLLINS, ANNE G.E. · 2019 to 2023
$1.9M
NIH HHSNIMH NIH HHS R01 MH119383
6 · The paper itself

Abstract

Using Bayesian methods to apply computational models of cognitive processes, or

Indexed as

CognitionModels, PsychologicalPsychologyBayes TheoremHumansModels, StatisticalMonte Carlo Method

Identifiers

PMID36972080
PMCPMC10522800

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.